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Mendeley readers
Attention Score in Context
Title |
Correction to: Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis
|
---|---|
Published in |
Genome Biology, November 2017
|
DOI | 10.1186/s13059-017-1352-6 |
Pubmed ID | |
Authors |
Chengping Wen, Zhijun Zheng, Tiejuan Shao, Lin Liu, Zhijun Xie, Emmanuelle Le Chatelier, Zhixing He, Wendi Zhong, Yongsheng Fan, Linshuang Zhang, Haichang Li, Chunyan Wu, Changfeng Hu, Qian Xu, Jia Zhou, Shunfeng Cai, Dawei Wang, Yun Huang, Maxime Breban, Nan Qin, Stanislav Dusko Ehrlich |
Abstract |
Upon publication of the original article [1], it was noted that references 11 and 22 were miscited in the reference list. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 4 | 25% |
Professor > Associate Professor | 3 | 19% |
Unspecified | 2 | 13% |
Researcher | 2 | 13% |
Lecturer | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 31% |
Medicine and Dentistry | 3 | 19% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Unspecified | 2 | 13% |
Immunology and Microbiology | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2017.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from Genome Biology
#3,489
of 4,468 outputs
Outputs of similar age
#132,060
of 342,685 outputs
Outputs of similar age from Genome Biology
#52
of 56 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.